{"id":"W4404723522","doi":"10.1016/j.hazadv.2024.100545","title":"Manure and iron oxide show potential for reducing uptake of arsenic and mercury in lettuce grown in a contaminated mining site","year":2024,"lang":"en","type":"article","venue":"Journal of Hazardous Materials Advances","topic":"Aluminum toxicity and tolerance in plants and animals","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Deutscher Akademischer Austauschdienst","keywords":"Mercury (programming language); Arsenic; Manure; Environmental chemistry; Contamination; Environmental science; Chemistry; Waste management; Agronomy; Engineering; Biology; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005160487,0.0001091002,0.0003632453,0.00004320288,0.00004363053,0.00008923933,0.00006755743,0.00006616651,0.00002591627],"category_scores_gemma":[0.00003549749,0.00004799647,0.0000426238,0.00008502809,0.00005637535,0.0003490785,0.00002125049,0.00007580246,1.937666e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001067004,"about_ca_system_score_gemma":0.000008832758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005339405,"about_ca_topic_score_gemma":0.00023822,"domain_scores_codex":[0.9990292,0.00004299139,0.000501629,0.0001547982,0.0001042459,0.0001671876],"domain_scores_gemma":[0.9995847,0.000134408,0.0002010105,0.00001569207,0.00002888833,0.00003529739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003311729,0.0000324342,0.0005198948,0.000150677,0.000009274527,0.0001044394,0.0002314872,0.00005227292,0.958617,0.00004325525,0.00002292548,0.03988513],"study_design_scores_gemma":[0.00357044,0.004455112,0.4721003,0.01009336,0.0002331264,0.00258698,0.008740116,0.001730607,0.4739748,0.004411807,0.0168364,0.001266939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899287,0.009178882,0.000004453832,0.000433105,0.0002460819,0.000107417,0.00008713899,0.000005278438,0.000008988955],"genre_scores_gemma":[0.9972763,0.002114312,0.0003733872,0.0000241613,0.0001730154,0.00000274271,0.000004866145,0.000001477411,0.00002972899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4846422,"threshold_uncertainty_score":0.1957239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009429597927895094,"score_gpt":0.2284070477613452,"score_spread":0.21897744983345,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}